Further research directions will address the performance in the sparse regime, where spectral methods are known to underperform, and various regularizations
have been proven to be effective both on the theoretical and experimental fronts; for example, see regularization in the sparse regime for the undirected settings [1]}, [2]}, [3]}.
Finally, adapting our pipeline for directed clustering in extremely large networks, possibly combined with sampling methods or mini-batch [4]}, is a direction worth exploring, rendering DIGRAC applicable to large scale industrial applications.
